Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

For years, cybersecurity has lived under a grim banner: “It’s not a matter of if you’ll be breached, but when.” That phrase became the industry’s guiding principle. Relying on prevention alone was slowly written off as impossible. Instead, the dominant wisdom declared that organizations must accept compromise as inevitable and prepare to deal with attackers after they had already gained a foothold.

While the average costs of cyber events rise, so do cybersecurity budgets, albeit at an extremely minimal level. This fiscal reality, which will only become more pressing as organizations scale their cyber GRC programs according to the external risk landscape, has made it all the more critical for chief information security officers (CISOs) and other security and risk managers (SRMs) to be able to evaluate the ROI of the various solutions and initiatives they implement.

AI was supposed to make our lives easier. Vendors promised it would cut through complexity, detect threats faster, and lighten the load on already overworked security teams. But if you’ve been paying attention, you know the truth: AI has given us more noise than ever. Corey Brunkow from Horizon3.ai joined Nucleus co-founder and CPO, Scott Kuffer, to unpack this problem during a recent webinar. AI helps attackers move faster, but on the defensive side, it’s created a flood of data.

On October 15, 2025, the U.S. Cybersecurity and Infrastructure Security Agency (CISA) issued Emergency Directive ED 26-01, ordering federal agencies to mitigate a significant security breach involving F5 BIG-IP products. F5 disclosed that nation-state threat actors maintained long-term unauthorized access to internal systems, exfiltrating: This breach represents a major risk to organizations running F5 devices, especially those with exposed management interfaces or unpatched systems.

The tools designed to build your next product are now being used to build the perfect attack against it. Generative AI platforms can spin up a pixel-perfect replica of your brand's login page in minutes, launching high-fidelity phishing campaigns at a scale and speed that legacy security models cannot handle. This isn't an emerging threat; it's an industrialized phishing engine that’s already being weaponized against businesses.

Helping customers understand rating changes has always been a core commitment at Bitsight. A rating shift can spark questions from executives, board members, or regulators, and security leaders must be ready to answer with clarity and confidence. That’s why we’ve introduced new updates to the Bitsight platform designed to make our cyber risk intelligence solutions more actionable.

‍General-purpose AI (GenAI) and other artificial intelligence (AI) systems are now completely embedded within business processes across the market. The once purely imagined technology is significantly influencing operations and reshaping the very processes under which high-level decisions are made.

In a world where internet connectivity intersects with just about every facet of our physical world—from cameras and door locks to power grids and factory robots—cyber risk intelligence has moved well beyond just protecting the bits and bytes of logical IT ecosystems. Security and risk professionals also have to be on the lookout for and aware of improperly secured cyber physical devices, like IoT devices, which greatly expand the enterprise attack surface.

Trust isn’t just a nice-to-have. It’s the foundation your organization is built on, fueling everything from customer loyalty to stronger partnerships and confident employees. But today, trust must be built across more digital channels than ever: websites, social platforms, app stores, and much more.